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looker sql python kubernetes dbt📋 Description
- Identify, collect, and integrate data for analytics and BI.
- Build high-quality data pipelines and data models.
- Develop and optimize code to run pipelines cost-effectively.
- Create monitoring tools to ensure ETL quality.
- Design ETL processes to fix incidents.
- Collaborate with CRM developers, data scientists, analysts, and product owners.
- Consult analytics teams on best data-use practices.
- Design cloud data architectures and migrations.
🎯 Requirements
- Data engineering, big data, BI, or data science experience
- Spark, Python, Scala, or similar
- Excellent SQL for large-scale transforms
- Cloud data warehousing and ETL on GCP/AWS/Azure
- Data pipelines tools: Dataflow, Airflow, DBT, EMR
- Kubernetes and GitHub version control
🎁 Benefits
- Remote-friendly team and hybrid work options
- Collaborative, diverse work environment
- Global brands and challenging data problems
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